apps.h2o.ai to Power Machine and Deep Learning APIs to Create
Intelligent Apps

MOUNTAIN VIEW, Calif. — (BUSINESS WIRE) — February 12, 2015 —
Today
H2O.ai,
the leader in open source machine learning and deep learning, unveiled a
new
artificial
intelligence (AI) developer program designed to empower engineers
with the tools to implement AI and Machine Learning and make their apps
smarter.
Apps.h2o.ai
is designed to support application developers via events, networking
opportunities, and a new, dedicated website comprising developer kits
and technical specs, news, and product spotlights. These resources will
enable developers to sharpen their Machine Learning proficiency and
accelerate the deployment of apps with the power and convenience of AI
to the lives of consumers and businesses worldwide.

“There are thousands of app developers with amazing ideas of what they
want to build, but don’t have the data science backgrounds to make them
a reality,” said
SriSatish
Ambati, CEO and co-founder, H2O.ai. “Convergence of application
developer, data science and machine learning communities is a blossoming
under ground movement in big data. All applications will deliver machine
learning through smart widgets. Artificial intelligence will be
intrinsic to all user experiences across all sensors, devices, and
mobile applications. We launched apps.h2o.ai as a store for killer
applications using deep learning on big data.”

“Front-end developers are able to design insanely impressive apps, but
many still need the tools to answer more complex questions,” said Alex
Tellez, H2O.ai Applications Hacker and Community Manager. “Now, we’re
making it easier for developers to quickly make apps that can process
images, text and recognize patterns to make better product
recommendations or predictions. Essentially, we’re providing an
integrated environment and the APIs to create the most sophisticated
applications.”

Beginning with its new First Friday Hackathons, the company’s elite
engineers and data scientists will work directly with developers who
have a range of application ideas to implement the most advanced machine
learning algorithms. The company also launched its apps resource center
at
http://apps.h2o.ai,
where developers are able to download APIs for Scala, Java, JavaScript,
Python and R; view tutorials and documentation for implementing H2O
algorithms; and a library of app samples that range from Sports, Dynamic
Pricing, Image Recognition, Fraud Detection and more. Upon completion,
developers will be able to submit their apps for community reviews and
opportunities to further promote their apps.

To join the H2O Apps development community and download the new tools,
documentation and developer resources, visit
http://apps.h2o.ai.

About H2O.ai

H2O brings fast scalable open-source machine learning and deep learning
for Smarter Applications. With H2O enterprises like PayPal, Nielsen,
Cisco and others can use all of their data without sampling and get
accurate predictions faster. Advanced algorithms, like Deep Learning,
Boosting and Bagging Ensembles are readily available for application
designers to build smarter applications through elegant APIs. Some of
our earliest customers have built powerful domain-specific predictive
engines for Recommendations, Customer Churn, Propensity to Buy, Dynamic
Pricing and Fraud Detection for the Insurance, Healthcare,
Telecommunications, AdTech, Retail and Payment Systems.